This led us to study the impact of variational component splitting approach on mixture models based on several distributions. Hence, our contribution is the application of variational component ...

A quantum variational algorithm sets up a problem-solving landscape where the peaks represent the high energy points of the system, or problem, and the valleys are the low energy values.

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on Variational Quantum Algorithms (VQA). This ...

Variational Quantum Algorithms (VQAs), which employ a classical optimizer to train a parametrized quantum circuit, have emerged as a leading strategy to address these constraints.

In a paper published in Science China Information Sciences, an international team of scientists presents a variational quantum attack algorithm (VQAA) for symmetric cryptography. As exemplified by ...

Additionally, MicroAlgo's quantum machine learning algorithms offer strong scalability and flexibility, making them adaptable to datasets of varying sizes and types as well as diverse machine learning ...

MicroAlgo's classifier auto-optimization technology, based on variational quantum algorithms, successfully reduces the computational complexity of parameter updates through deep optimization of ...